mario.calc_pa(va, vc, waa, wca)#

Calculate the SUT activity price index pa.

\[p_a = w_{aa}^{\mathsf{T}}v_a^{\mathsf{T}}\mathbf{1} + w_{ca}^{\mathsf{T}}v_c^{\mathsf{T}}\mathbf{1}\]
Parameters:

  • va (pandas.DataFrame) – Direct value-added coefficients, with factor rows and activity columns. The columns must match the row index of waa.

  • vc (pandas.DataFrame) – Direct value-added coefficients, with factor rows and commodity columns. The columns must match the row index of wca.

  • waa (pandas.DataFrame) – Leontief block with activity rows and activity columns.

  • wca (pandas.DataFrame) – Leontief block with commodity rows and activity columns, matching the columns of waa.

Returns:

Price index, indexed by activity nodes, with one column named price index.

Return type:

pandas.DataFrame

Notes

All value-added factor rows are summed before applying the transposed Leontief blocks. Both activity and commodity direct contributions are included.